ACComplice: Location inference using accelerometers on smartphones

Jun Han, Emmanuel Owusu, Le T. Nguyen, Adrian Perrig, Joy Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

120 Citations (Scopus)

Abstract

The security and privacy risks posed by smartphone sensors such as microphones and cameras have been well documented. However, the importance of accelerometers have been largely ignored. We show that accelerometer readings can be used to infer the trajectory and starting point of an individual who is driving. This raises concerns for two main reasons. First, unauthorized access to an individual's location is a serious invasion of privacy and security. Second, current smartphone operating systems allow any application to observe accelerometer readings without requiring special privileges. We demonstrate that accelerometers can be used to locate a device owner to within a 200 meter radius of the true location. Our results are comparable to the typical accuracy for handheld global positioning systems.

Original languageEnglish
Title of host publication2012 4th International Conference on Communication Systems and Networks, COMSNETS 2012
DOIs
Publication statusPublished - 2012
Event2012 4th International Conference on Communication Systems and Networks, COMSNETS 2012 - Bangalore, India
Duration: 2012 Jan 32012 Jan 7

Publication series

Name2012 4th International Conference on Communication Systems and Networks, COMSNETS 2012

Other

Other2012 4th International Conference on Communication Systems and Networks, COMSNETS 2012
Country/TerritoryIndia
CityBangalore
Period12/1/312/1/7

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'ACComplice: Location inference using accelerometers on smartphones'. Together they form a unique fingerprint.

Cite this